Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "129" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 62 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 60 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459878 | digital_ok | 0.00% | 0.00% | 0.06% | 0.00% | - | - | 0.525062 | -1.614433 | -0.717426 | -0.305915 | -0.596575 | -0.713379 | -0.657542 | -0.789769 | 0.6806 | 0.6957 | 0.3947 | nan | nan |
| 2459876 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.002629 | -0.948245 | -0.639308 | -0.859632 | -0.362748 | 0.027709 | 0.640394 | 9.764636 | 0.6982 | 0.6873 | 0.3991 | nan | nan |
| 2459875 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.740252 | -1.914791 | -0.642370 | -0.485512 | -0.897742 | -0.363385 | 0.086081 | 0.234649 | 0.7142 | 0.7221 | 0.3999 | nan | nan |
| 2459874 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459873 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.190965 | -2.224897 | -0.685060 | -0.742953 | -0.000263 | -0.272611 | -0.738982 | -0.525348 | 0.7020 | 0.6900 | 0.3930 | nan | nan |
| 2459872 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.208611 | -1.714229 | 1.872415 | 1.751466 | -0.450357 | -0.356769 | -0.435230 | 0.437675 | 0.7031 | 0.6873 | 0.3943 | nan | nan |
| 2459871 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.531206 | -1.502616 | -0.681096 | -0.340401 | -1.027186 | -0.794365 | -0.428635 | -0.675269 | 0.7059 | 0.6822 | 0.3970 | nan | nan |
| 2459870 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.652247 | -2.187229 | -0.712441 | -0.676829 | 0.235866 | -0.224872 | -0.680734 | -0.662583 | 0.7072 | 0.6924 | 0.4006 | nan | nan |
| 2459869 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.088067 | -1.139256 | -0.857148 | -0.593794 | 0.061415 | -0.743376 | -0.436734 | 0.760272 | 0.7204 | 0.7149 | 0.3844 | nan | nan |
| 2459868 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.814030 | -1.581360 | -0.972687 | -0.620397 | -0.651649 | -0.534522 | -0.558057 | -0.515609 | 0.6952 | 0.6863 | 0.4101 | nan | nan |
| 2459867 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.934615 | -1.662624 | 1.847146 | 1.812304 | -0.336396 | -0.605403 | -0.369798 | -0.797460 | 0.7066 | 0.6894 | 0.4121 | nan | nan |
| 2459866 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.934579 | -1.828398 | -0.660376 | -0.898713 | -0.383000 | -0.020353 | -0.812989 | -0.853835 | 0.7093 | 0.6920 | 0.4046 | nan | nan |
| 2459865 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.270997 | -0.883876 | 2.688669 | 2.724743 | -0.995219 | -0.321142 | -0.069244 | 1.391218 | 0.7327 | 0.7093 | 0.3629 | nan | nan |
| 2459864 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 507.662822 | 506.983081 | inf | inf | 7051.916023 | 7045.372838 | 25759.061634 | 25726.329451 | nan | nan | nan | nan | nan |
| 2459863 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.464716 | -1.613414 | -0.612033 | -0.256474 | 0.301580 | 1.408596 | -0.649608 | 0.138838 | 0.6996 | 0.6751 | 0.4107 | nan | nan |
| 2459862 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.812043 | -1.886821 | -0.989423 | 0.005456 | -1.270849 | -1.477120 | -0.641698 | -0.708117 | 0.6837 | 0.7042 | 0.4271 | nan | nan |
| 2459861 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.484663 | -1.350403 | 0.207478 | 0.564659 | 0.615284 | 1.186731 | -0.538756 | -0.451666 | 0.7091 | 0.6837 | 0.4281 | nan | nan |
| 2459860 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.587934 | -1.525273 | -0.794269 | -0.642380 | -0.663902 | -0.900164 | -0.443378 | -0.823528 | 0.7203 | 0.6903 | 0.4162 | nan | nan |
| 2459859 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.420879 | -1.347685 | -0.355899 | -0.060318 | 0.692527 | 0.861351 | 1.543966 | -0.176274 | 0.7188 | 0.6919 | 0.4156 | nan | nan |
| 2459858 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.451966 | -1.291348 | -0.423979 | -0.202286 | 1.014836 | 1.509522 | 0.171591 | -0.330336 | 0.7313 | 0.7001 | 0.4223 | 1.971000 | 1.498663 |
| 2459857 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.883613 | -1.075824 | 0.223758 | 0.007697 | -0.911082 | -1.585524 | 0.632943 | 0.215981 | 0.0278 | 0.0253 | 0.0014 | nan | nan |
| 2459856 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.43% | 0.57% | 0.924166 | -1.587079 | -0.731790 | -0.480338 | -0.152081 | -0.897265 | 0.076599 | -0.644615 | 0.7216 | 0.7157 | 0.4062 | 1.769076 | 1.429066 |
| 2459855 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.58% | 0.00% | 1.158494 | -1.822897 | -0.336361 | -0.578965 | 0.218737 | -0.495575 | 0.988204 | -0.575457 | 0.6922 | 0.7257 | 0.4515 | 1.390527 | 1.273456 |
| 2459854 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.93% | 0.00% | 1.079303 | -1.822320 | 0.154491 | 0.366541 | -0.110092 | -0.729556 | -1.015665 | -1.081709 | 0.7242 | 0.7504 | 0.4426 | 1.389558 | 1.248757 |
| 2459853 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.56% | 1.292306 | -1.038312 | -0.730817 | -0.969778 | 0.495001 | -0.432432 | -0.460524 | -0.642398 | 0.7457 | 0.7027 | 0.4302 | 1.487513 | 1.325331 |
| 2459852 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.65% | 0.54% | -0.472870 | -0.886248 | -0.676538 | -0.801526 | 0.071885 | -0.319670 | -1.159373 | -0.984789 | 0.8370 | 0.8458 | 0.2381 | 3.465041 | 2.827812 |
| 2459851 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 11.76% | 0.00% | 0.210714 | -0.651046 | -0.809109 | -0.888924 | -0.936822 | -1.195386 | -0.631275 | -1.146959 | 0.7612 | 0.7480 | 0.3459 | 1.562618 | 1.397693 |
| 2459850 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 18.02% | 0.00% | 1.082566 | -0.981742 | 0.626352 | 0.677081 | -0.325620 | -0.726206 | -0.953269 | -1.027499 | 0.7499 | 0.7699 | 0.3563 | 1.283325 | 1.235062 |
| 2459849 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.67% | 0.00% | 0.509746 | -1.574818 | -0.581329 | -0.928269 | 0.271047 | -0.450036 | -0.600816 | -1.098153 | 0.7469 | 0.7618 | 0.3626 | 1.383763 | 1.235197 |
| 2459848 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 30.15% | 0.00% | 0.821368 | -1.279075 | -0.430088 | 0.845774 | 0.340456 | -0.683020 | -0.679052 | 0.539852 | 0.7297 | 0.7580 | 0.3798 | 1.479552 | 1.322039 |
| 2459847 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.21% | 0.00% | 0.998462 | -1.531095 | 0.019160 | 0.621920 | -0.443803 | -0.800695 | -0.514950 | -0.276034 | 0.7311 | 0.6929 | 0.4363 | 1.556673 | 1.344843 |
| 2459845 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.02% | 0.00% | 1.156435 | -1.260589 | 2.671053 | 0.014710 | 0.255516 | -0.613303 | 0.111174 | -1.376803 | 0.7567 | 0.7548 | 0.3630 | 1.266744 | 1.209387 |
| 2459844 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.530073 | 2.003781 | -1.088461 | 0.151649 | -0.673000 | -0.629454 | 0.443225 | -0.088754 | 0.0278 | 0.0249 | 0.0015 | nan | nan |
| 2459843 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459842 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.825646 | -0.336014 | 0.239209 | 0.486308 | 0.002276 | 0.684844 | -0.213786 | 0.166850 | 0.7717 | 0.7017 | 0.2537 | 2.280662 | 1.854025 |
| 2459841 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 38.320285 | 49.302056 | 54.071566 | 57.834521 | 298.369530 | 440.410178 | 43.464644 | 55.525208 | 0.7702 | 0.7358 | 0.3449 | nan | nan |
| 2459840 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.625338 | 0.873293 | -0.254161 | -0.659085 | -0.120124 | -0.246974 | 0.575717 | 0.110407 | 0.0267 | 0.0234 | 0.0018 | nan | nan |
| 2459839 | digital_ok | 100.00% | - | - | - | - | - | -1.120502 | -0.633939 | 4.060855 | 4.873610 | 1.966719 | 3.218269 | 1.887527 | 0.850271 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 205.753089 | 203.379305 | inf | inf | 12830.720094 | 12710.481758 | 8747.538478 | 8734.179313 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459836 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6716 | 0.5800 | 0.3862 | nan | nan |
| 2459835 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.954651 | 5.441765 | 10.189596 | 10.548553 | 36.054003 | 27.982187 | -3.254283 | -3.584673 | 0.7369 | 0.4870 | 0.5018 | nan | nan |
| 2459833 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 17.436155 | 19.462085 | 30.658410 | 31.649909 | 338.034227 | 298.799471 | 37.391618 | 34.675425 | 0.7409 | 0.4639 | 0.5102 | nan | nan |
| 2459832 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 5.26% | -1.173483 | -1.762398 | 0.446441 | 0.374382 | -0.286178 | 0.239944 | -0.688183 | -0.917983 | 0.7487 | 0.4632 | 0.5571 | 2.069691 | 1.573153 |
| 2459831 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -1.044823 | -0.548124 | 4.820562 | 5.489991 | -0.549705 | -1.070659 | 0.308574 | -1.075887 | 0.0524 | 0.0362 | 0.0037 | nan | nan |
| 2459830 | digital_ok | 0.00% | 0.00% | 2.69% | 0.00% | 2.63% | 0.00% | -0.988013 | -1.526585 | 0.764561 | 0.607596 | -0.715904 | -0.690650 | -0.580501 | -1.076576 | 0.7452 | 0.4604 | 0.5441 | 2.007249 | 1.676822 |
| 2459829 | digital_ok | 0.00% | 0.00% | 0.54% | 0.00% | 0.65% | 0.00% | -0.613957 | -1.734322 | -0.447592 | -0.472691 | 0.300806 | -0.024275 | -0.366816 | -0.373377 | 0.6757 | 0.5857 | 0.4192 | 1.187391 | 0.958513 |
| 2459828 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.929201 | -1.033672 | -0.530706 | -0.274608 | 0.544044 | 0.689011 | -0.469086 | -0.021463 | 0.7377 | 0.4745 | 0.5197 | 2.096769 | 1.785985 |
| 2459827 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.519008 | -1.095707 | -0.676989 | -0.778969 | -0.911896 | 0.068767 | -0.668001 | -0.898284 | 0.6885 | 0.6028 | 0.4102 | 1.899369 | 1.542517 |
| 2459826 | digital_ok | 0.00% | 16.13% | 16.13% | 0.00% | 15.79% | 0.00% | -0.543030 | -1.050806 | -0.899709 | -0.928814 | 0.553598 | 1.090882 | -0.000447 | 0.255527 | 0.6587 | 0.4422 | 0.4467 | 1.647825 | 1.248637 |
| 2459825 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.371200 | -1.034126 | -0.737542 | -0.801895 | 1.622157 | 1.802918 | 0.696069 | 0.537947 | 0.0526 | 0.0593 | 0.0059 | 0.000000 | 0.000000 |
| 2459824 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.021683 | -1.256220 | 0.527464 | 0.625220 | -0.844271 | -0.287046 | -0.116678 | -0.332362 | 0.0531 | 0.0658 | 0.0051 | 0.000000 | 0.000000 |
| 2459823 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.099722 | -1.031437 | -0.677003 | -0.729735 | -0.360239 | 0.003740 | -0.679755 | -0.087274 | 0.0508 | 0.0647 | 0.0062 | 0.000000 | 0.000000 |
| 2459822 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.122944 | -0.666679 | -0.829629 | -0.800829 | 0.337930 | 0.298699 | -0.398176 | -0.862934 | 0.0552 | 0.0647 | 0.0070 | 0.000000 | 0.000000 |
| 2459821 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.055851 | -1.323599 | -0.821633 | -1.021843 | 0.708146 | 0.659237 | -0.594845 | -0.622181 | 0.0533 | 0.0654 | 0.0059 | 1.204482 | 1.200551 |
| 2459820 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.122055 | -1.213358 | -0.762888 | -0.671214 | -0.356941 | 1.568867 | -0.629384 | -0.624243 | 0.0503 | 0.0633 | 0.0047 | 0.000000 | 0.000000 |
| 2459817 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.253203 | -1.491753 | -0.748488 | -1.008833 | 0.173650 | -0.093079 | 0.239405 | 0.199260 | 0.0627 | 0.0690 | 0.0071 | 15.995723 | 13.358412 |
| 2459816 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.492754 | -0.993876 | 0.969907 | 0.928825 | -0.526392 | -0.914285 | -0.906950 | -0.598291 | 0.0560 | 0.0585 | 0.0059 | 0.000000 | 0.000000 |
| 2459815 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.249800 | -1.088104 | 0.816056 | 0.940531 | -0.415694 | -0.611183 | -1.202429 | -0.682908 | 0.0646 | 0.0763 | 0.0082 | 1.462996 | 1.462802 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.964057 | -1.034700 | -0.656165 | -1.050218 | 1.573951 | 0.572019 | -0.591702 | -0.225306 | 0.0856 | 0.0856 | 0.0126 | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.525062 | 0.525062 | -1.614433 | -0.717426 | -0.305915 | -0.596575 | -0.713379 | -0.657542 | -0.789769 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Discontinuties | 9.764636 | 1.002629 | -0.948245 | -0.639308 | -0.859632 | -0.362748 | 0.027709 | 0.640394 | 9.764636 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.740252 | 0.740252 | -1.914791 | -0.642370 | -0.485512 | -0.897742 | -0.363385 | 0.086081 | 0.234649 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Variability | -0.000263 | -0.190965 | -2.224897 | -0.685060 | -0.742953 | -0.000263 | -0.272611 | -0.738982 | -0.525348 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Power | 1.872415 | -1.714229 | 0.208611 | 1.751466 | 1.872415 | -0.356769 | -0.450357 | 0.437675 | -0.435230 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.531206 | -1.502616 | 0.531206 | -0.340401 | -0.681096 | -0.794365 | -1.027186 | -0.675269 | -0.428635 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.652247 | 0.652247 | -2.187229 | -0.712441 | -0.676829 | 0.235866 | -0.224872 | -0.680734 | -0.662583 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Discontinuties | 0.760272 | -0.088067 | -1.139256 | -0.857148 | -0.593794 | 0.061415 | -0.743376 | -0.436734 | 0.760272 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.814030 | 0.814030 | -1.581360 | -0.972687 | -0.620397 | -0.651649 | -0.534522 | -0.558057 | -0.515609 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Power | 1.847146 | 0.934615 | -1.662624 | 1.847146 | 1.812304 | -0.336396 | -0.605403 | -0.369798 | -0.797460 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.934579 | -1.828398 | 0.934579 | -0.898713 | -0.660376 | -0.020353 | -0.383000 | -0.853835 | -0.812989 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Power | 2.724743 | 1.270997 | -0.883876 | 2.688669 | 2.724743 | -0.995219 | -0.321142 | -0.069244 | 1.391218 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Power | inf | 506.983081 | 507.662822 | inf | inf | 7045.372838 | 7051.916023 | 25726.329451 | 25759.061634 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 1.408596 | 0.464716 | -1.613414 | -0.612033 | -0.256474 | 0.301580 | 1.408596 | -0.649608 | 0.138838 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.812043 | 0.812043 | -1.886821 | -0.989423 | 0.005456 | -1.270849 | -1.477120 | -0.641698 | -0.708117 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 1.186731 | -1.350403 | 0.484663 | 0.564659 | 0.207478 | 1.186731 | 0.615284 | -0.451666 | -0.538756 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Discontinuties | -0.443378 | -0.587934 | -1.525273 | -0.794269 | -0.642380 | -0.663902 | -0.900164 | -0.443378 | -0.823528 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Discontinuties | 1.543966 | 0.420879 | -1.347685 | -0.355899 | -0.060318 | 0.692527 | 0.861351 | 1.543966 | -0.176274 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 1.509522 | -1.291348 | 0.451966 | -0.202286 | -0.423979 | 1.509522 | 1.014836 | -0.330336 | 0.171591 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Discontinuties | 0.632943 | -1.075824 | -0.883613 | 0.007697 | 0.223758 | -1.585524 | -0.911082 | 0.215981 | 0.632943 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.924166 | 0.924166 | -1.587079 | -0.731790 | -0.480338 | -0.152081 | -0.897265 | 0.076599 | -0.644615 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 1.158494 | -1.822897 | 1.158494 | -0.578965 | -0.336361 | -0.495575 | 0.218737 | -0.575457 | 0.988204 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 1.079303 | -1.822320 | 1.079303 | 0.366541 | 0.154491 | -0.729556 | -0.110092 | -1.081709 | -1.015665 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 1.292306 | -1.038312 | 1.292306 | -0.969778 | -0.730817 | -0.432432 | 0.495001 | -0.642398 | -0.460524 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Variability | 0.071885 | -0.472870 | -0.886248 | -0.676538 | -0.801526 | 0.071885 | -0.319670 | -1.159373 | -0.984789 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.210714 | 0.210714 | -0.651046 | -0.809109 | -0.888924 | -0.936822 | -1.195386 | -0.631275 | -1.146959 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 1.082566 | 1.082566 | -0.981742 | 0.626352 | 0.677081 | -0.325620 | -0.726206 | -0.953269 | -1.027499 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.509746 | 0.509746 | -1.574818 | -0.581329 | -0.928269 | 0.271047 | -0.450036 | -0.600816 | -1.098153 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Power | 0.845774 | -1.279075 | 0.821368 | 0.845774 | -0.430088 | -0.683020 | 0.340456 | 0.539852 | -0.679052 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Shape | 0.998462 | -1.531095 | 0.998462 | 0.621920 | 0.019160 | -0.800695 | -0.443803 | -0.276034 | -0.514950 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Power | 2.671053 | -1.260589 | 1.156435 | 0.014710 | 2.671053 | -0.613303 | 0.255516 | -1.376803 | 0.111174 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Shape | 2.003781 | -0.530073 | 2.003781 | -1.088461 | 0.151649 | -0.673000 | -0.629454 | 0.443225 | -0.088754 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 0.684844 | -0.825646 | -0.336014 | 0.239209 | 0.486308 | 0.002276 | 0.684844 | -0.213786 | 0.166850 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 440.410178 | 38.320285 | 49.302056 | 54.071566 | 57.834521 | 298.369530 | 440.410178 | 43.464644 | 55.525208 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Shape | 0.873293 | 0.625338 | 0.873293 | -0.254161 | -0.659085 | -0.120124 | -0.246974 | 0.575717 | 0.110407 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Power | 4.873610 | -0.633939 | -1.120502 | 4.873610 | 4.060855 | 3.218269 | 1.966719 | 0.850271 | 1.887527 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Power | inf | 203.379305 | 205.753089 | inf | inf | 12710.481758 | 12830.720094 | 8734.179313 | 8747.538478 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Variability | 36.054003 | 5.441765 | 4.954651 | 10.548553 | 10.189596 | 27.982187 | 36.054003 | -3.584673 | -3.254283 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Variability | 338.034227 | 19.462085 | 17.436155 | 31.649909 | 30.658410 | 298.799471 | 338.034227 | 34.675425 | 37.391618 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Power | 0.446441 | -1.173483 | -1.762398 | 0.446441 | 0.374382 | -0.286178 | 0.239944 | -0.688183 | -0.917983 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Power | 5.489991 | -1.044823 | -0.548124 | 4.820562 | 5.489991 | -0.549705 | -1.070659 | 0.308574 | -1.075887 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Power | 0.764561 | -0.988013 | -1.526585 | 0.764561 | 0.607596 | -0.715904 | -0.690650 | -0.580501 | -1.076576 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Variability | 0.300806 | -1.734322 | -0.613957 | -0.472691 | -0.447592 | -0.024275 | 0.300806 | -0.373377 | -0.366816 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 0.689011 | -1.033672 | -0.929201 | -0.274608 | -0.530706 | 0.689011 | 0.544044 | -0.021463 | -0.469086 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 0.068767 | -0.519008 | -1.095707 | -0.676989 | -0.778969 | -0.911896 | 0.068767 | -0.668001 | -0.898284 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 1.090882 | -1.050806 | -0.543030 | -0.928814 | -0.899709 | 1.090882 | 0.553598 | 0.255527 | -0.000447 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 1.802918 | -1.034126 | -0.371200 | -0.801895 | -0.737542 | 1.802918 | 1.622157 | 0.537947 | 0.696069 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Power | 0.625220 | 0.021683 | -1.256220 | 0.527464 | 0.625220 | -0.844271 | -0.287046 | -0.116678 | -0.332362 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 0.003740 | -1.031437 | -0.099722 | -0.729735 | -0.677003 | 0.003740 | -0.360239 | -0.087274 | -0.679755 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Variability | 0.337930 | -0.122944 | -0.666679 | -0.829629 | -0.800829 | 0.337930 | 0.298699 | -0.398176 | -0.862934 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Variability | 0.708146 | -1.323599 | -1.055851 | -1.021843 | -0.821633 | 0.659237 | 0.708146 | -0.622181 | -0.594845 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Temporal Variability | 1.568867 | 0.122055 | -1.213358 | -0.762888 | -0.671214 | -0.356941 | 1.568867 | -0.629384 | -0.624243 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Discontinuties | 0.239405 | -0.253203 | -1.491753 | -0.748488 | -1.008833 | 0.173650 | -0.093079 | 0.239405 | 0.199260 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Power | 0.969907 | -0.993876 | -0.492754 | 0.928825 | 0.969907 | -0.914285 | -0.526392 | -0.598291 | -0.906950 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Power | 0.940531 | -1.088104 | -0.249800 | 0.940531 | 0.816056 | -0.611183 | -0.415694 | -0.682908 | -1.202429 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 129 | N10 | digital_ok | ee Temporal Variability | 1.573951 | -1.034700 | 0.964057 | -1.050218 | -0.656165 | 0.572019 | 1.573951 | -0.225306 | -0.591702 |